Senior Machine Learning Engineer

We are looking for a Senior ML Engineer to design, build, and operate scalable Real Time data pipelines and ML platforms on AWS. This is a contract role - hybrid role in London, UK ( 2-days a week) Experience-10+ yrs Key Responsibilities • Build and manage Real Time streaming pipelines using Kafka and Flink • Implement micro-batch processing (5-minute, hourly, daily) • Design and operate S3-based data pipelines and data lakes • Set up and manage Redis clusters for low-latency data access • Evaluate and implement MongoDB/Atlas where required • Build and operate MLOps pipelines using AWS SageMaker (training, deployment, monitoring) • Productionize ML models built in PyTorch • Ensure scalability, reliability, and performance of data and ML systems Required Skills • 2-3+ years hands-on AWS experience • Kafka, Flink (Real Time streaming pipelines) • AWS S3 data pipelines and data lake design • Real Time and micro-batch processing • Redis cluster setup and management • AWS SageMaker (training, deployment, MLOps) • PyTorch • Strong Python skills Nice to Have • MongoDB/MongoDB Atlas • CI/CD and Infrastructure as Code • Experience with large-scale distributed systems